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» Generation of Attributes for Learning Algorithms
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IWANN
2005
Springer
14 years 2 months ago
Bias and Variance of Rotation-Based Ensembles
Abstract. In Machine Learning, ensembles are combination of classifiers. Their objective is to improve the accuracy. In previous works, we have presented a method for the generati...
Juan José Rodríguez, Carlos J. Alons...
SG
2005
Springer
14 years 2 months ago
Metrics for Functional and Aesthetic Label Layouts
Abstract. Co-referential relations between textual and visual elements in illustrations can be encoded efficiently through textual labels. The labels support students to learn unk...
Knut Hartmann, Timo Götzelmann, Kamran Ali, T...
LTCONF
2007
Springer
14 years 3 months ago
Automatically Determining Attitude Type and Force for Sentiment Analysis
Recent work in sentiment analysis has begun to apply fine-grained semantic distinctions between expressions of attitude as features for textual analysis. Such methods, however, r...
Shlomo Argamon, Kenneth Bloom, Andrea Esuli, Fabri...
CVPR
2012
IEEE
11 years 11 months ago
Meta-class features for large-scale object categorization on a budget
In this paper we introduce a novel image descriptor enabling accurate object categorization even with linear models. Akin to the popular attribute descriptors, our feature vector ...
Alessandro Bergamo, Lorenzo Torresani
ICDE
2009
IEEE
157views Database» more  ICDE 2009»
14 years 10 months ago
A Rule-Based Classification Algorithm for Uncertain Data
Abstract-- Data uncertainty is common in real-world applications due to various causes, including imprecise measurement, network latency, outdated sources and sampling errors. Thes...
Biao Qin, Yuni Xia, Sunil Prabhakar, Yi-Cheng Tu